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Layer-stacked Attention for Heterogeneous Network Embedding

Layer-stacked Attention for Heterogeneous Network Embedding

17 September 2020
Nhat Chau Tran
Jean X. Gao
ArXivPDFHTML

Papers citing "Layer-stacked Attention for Heterogeneous Network Embedding"

16 / 16 papers shown
Title
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Kexin Huang
C. Xiao
Lucas Glass
Marinka Zitnik
Jimeng Sun
GNN
43
118
0
30 Apr 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
256
1,183
0
03 Mar 2020
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
114
958
0
06 Nov 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou
Jiajun Bu
Xin Eric Wang
Jiawei Chen
Can Wang
38
24
0
31 Jan 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
461
1,965
0
09 Jun 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi
Fangqiu Han
Xinwei He
Xinran He
Carl Yang
Jie Luo
Jiawei Han
3DV
25
55
0
19 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
301
19,902
0
30 Oct 2017
An Attention-based Collaboration Framework for Multi-View Network
  Representation Learning
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu
Jian Tang
Jingbo Shang
Xiang Ren
Ming Zhang
Jiawei Han
GNN
36
167
0
19 Sep 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
374
15,066
0
07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
134
4,772
0
17 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
429
28,795
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
152
10,800
0
03 Jul 2016
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
95
2,602
0
24 Jun 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
107
5,315
0
12 Mar 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
213
9,735
0
26 Mar 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
282
33,445
0
16 Oct 2013
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